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Assessment of healthcare technology and economics can be used to assess the access to healthcare, its quality and efficacy as well as its cost and cost efficiency. This report addresses these issues for the provision of care for end-stage renal disease (ESRD) patients. An international comparison of access to ESRD treatment modalities was made with reference to the healthcare provider structure in a range of industrial countries. The countries were grouped into 'public' (Beveridge model), 'mixed' (Bismarck model) and 'private' (Private Insurance model). In 'public' provider countries, 20-52% of dialysis patients are treated with home therapies (haemodialysis and peritoneal dialysis), and the number of patients with renal transplants is 45-81% of all ESRD patients. In 'mixed' provider countries, only 9 17% of all dialysis patients are treated with home therapies, and 20-48% of ESRD patients have renal transplants. In 'private' provider countries, 17% of US and 6% Japanese dialysis patients are treated with home therapies. Japan has 0.3% and the US has 26% of ESRD patients who receive renal transplants. It thus seems that provider structure influences access to and choice of ESRD treatment. With a growing elderly population and longer life expectancy, there will be an increased requirement for ESRD treatments in all industrial countries. Equal access to, and quality of ESRD care in the future will require adequate funding and reimbursement strategies in a cost-constrained healthcare environment. growing elderly population, new and innovative healthcare technologies, increasing expectations of the population and the dilemma of economic constraints. Therefore, new disciplines such as health technology assessment and healthcare economics are developing to support the needs of health policy decision makers. Their main objective is to create a balance between the three key factors of a healthcare system: access to healthcare (equity for all), quality of healthcare (efficacy) and finally the cost or cost efficiency of healthcare provision [1; see also Lameire et al., this issue]. This report will assess access to healthcare in a very specific and very costly area that of end-stage renal disease (ESRD). An international comparison of access to ESRD treatment for patients from a series of industrial countries will be used as a means for evaluation of this access.

Background ‘Dating and relationship violence’ is intimate partner violence during adolescence. Among dating adolescents in England, 66–75% of girls and 32–50% of boys report victimisation. Multicomponent school-based interventions might reduce dating and relationship violence. We optimised and piloted Project Respect, a new intervention in secondary schools in England, and study methods, to assess the value of a Phase III randomised controlled trial. Objectives To optimise Project Respect and to then conduct a pilot randomised controlled trial in southern England, addressing whether or not progression to a Phase III trial is justified in terms of prespecified criteria. To assess which of two dating and relationship violence scales is optimal, to assess response rates and to consider any necessary refinements. Design Optimisation activities aimed at intervention development and a pilot randomised controlled trial. Setting Optimisation in four secondary schools across southern England, varying by region and local deprivation. A pilot cluster randomised controlled trial in six other such schools (four intervention schools and two control schools), varying by region, attainment and local deprivation. Participants School students in years 8–10 at baseline and staff. Interventions Schools were randomised to the intervention or control arm in a 2 : 1 ratio; intervention comprised staff training, mapping ‘hotspots’ in school for dating and relationship violence, modifying staff patrols, school policy review, informing parents and carers, an application supporting student help-seeking, and a classroom curriculum for students in years 9 and 10 (including student-led campaigns). Main outcome measures Prespecified criteria for progression to Phase III of the trial, concerning acceptability, feasibility, fidelity and response rates. Primary health outcomes were assessed using the Safe Dates and short Conflicts in Adolescent Dating Relationships Inventory measures collected and analysed by individuals who were masked to allocation. Feasibility of economic analysis was assessed. Data sources Baseline and follow-up student and staff surveys, interviews, observations and logbooks. Results The intervention was optimised and approved by the Study Steering Committee. The student response rates in intervention and control groups were 1057 (84.8%) and 369 (76.6%) at baseline, and 1177 (76.8%) and 352 (83.4%) at follow-up, respectively. Safe Dates and the short Conflicts in Adolescent Dating Relationships Inventory had high levels of completion and reliability. At follow-up, prevalence of past-year dating and relationship violence victimisation was around 35% (Safe Dates scale and short Conflicts in Adolescent Dating Relationships Inventory). Staff response rates were very low. Training occurred in all four schools, with suboptimal fidelity. The curriculum was delivered with optimal fidelity in three schools. Other components were delivered inconsistently. Dating and relationship violence was addressed in control schools via violence prevention and responses, but not systematically. Intervention acceptability among students and staff was mixed. An economic evaluation would be feasible. Limitations One school did not undertake baseline surveys. Staff survey response rates were low and completion of the logbook was patchy. Conclusions Our findings suggest that progression to a Phase III trial of this intervention is not indicated because of limited fidelity and acceptability. Future work High prevalence of dating and relationship violence highlights the ongoing need for effective intervention. Potential intervention refinements would include more external support for schools and enhanced curriculum materials. Any future randomised controlled trials could consider having a longer lead-in from randomisation to intervention commencement, using the short Conflicts in Adolescent Dating Relationships Inventory as the primary outcome and not relying on staff surveys. Trial registration Current Controlled Trials ISRCTN65324176. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 5. See the NIHR Journals Library website for further project information.

Children and young people in the UK have worse health outcomes than in many similar western countries and child health inequalities are persistent and increasing. Systems thinking has emerged as a promising approach to addressing complex public health issues. We report on a systems approach to mapping the determinants of child health inequalities at the local level in England for young people aged 0–25, and describe the resulting map. Qualitative group concept mapping workshops were held in two contrasting English local authorities with a range of stakeholders: professionals (N = 35); children and young people (N = 33) and carers (N = 5). Initial area maps were developed, and augmented using data from qualitative interviews with professionals (N = 16). The resulting local maps were reviewed and validated by expert stakeholders in each area (N = 9; N = 35). Commonalities between two area-specific system maps (and removal of locality-specific factors) were used to develop a map that could be applied in any English local area. Two rounds of online survey (N = 21; N = 8) experts in public health, local governance and systems science refined the final system map displaying the determinants of child health inequalities. The process created a map of over 150 factors influencing inequalities in health outcomes for children aged 0–25 years at the local area level. The system map has six domains; physical environment, governance, economic, social, service, and personal. To our knowledge this is the first study taking a systems approach to addressing inequalities across all aspects of child health. The study shows how group concept mapping can support systems thinking at the local level. The resulting system map illustrates the complexity of factors influencing child health inequalities, and it may be a useful tool in demonstrating to stakeholders the importance of policies that tackle the systemic drivers of child health inequalities beyond those traditionally associated with public health.

ObjectivesTo assess the effect of exposure to misinformation about e-cigarette harms found on Twitter on adult current smokers’ intention to quit smoking cigarettes, intention to purchase e-cigarettes and perceived relative harm of e-cigarettes compared with regular cigarettes.SettingAn online randomised controlled experiment conducted in November 2019 among USA and UK current smokers.Participants2400 adult current smokers aged ≥18 years who were not current e-cigarette users recruited from an online panel. Participants’ were randomised in a 1:1:1:1 ratio using a least-fill randomiser function.InterventionsViewing 4 tweets in random order within one of four conditions: (1) e-cigarettes are just as or more harmful than smoking, (2) e-cigarettes are completely harmless, (3) e-cigarette harms are uncertain, and (4) a control condition of tweets about physical activity.Primary outcomes measuresSelf-reported post-test intention to quit smoking cigarettes, intention to purchase e-cigarettes, and perceived relative harm of e-cigarettes compared with smoking.ResultsAmong US and UK participants, after controlling for baseline measures of the outcome, exposure to tweets that e-cigarettes are as or more harmful than smoking versus control was associated with lower post-test intention to purchase e-cigarettes (β=−0.339, 95% CI −0.487 to –0.191, p<0.001) and increased post-test perceived relative harm of e-cigarettes (β=0.341, 95% CI 0.273 to 0.410, p<0.001). Among US smokers, exposure to tweets that e-cigarettes are completely harmless was associated with higher post-test intention to purchase e-cigarettes (β=0.229, 95% CI 0.002 to 0.456, p=0.048) and lower post-test perceived relative harm of e-cigarettes (β=−0.154, 95% CI −0.258 to –0.050, p=0.004).ConclusionsUS and UK adult current smokers may be deterred from considering using e-cigarettes after brief exposure to tweets that e-cigarettes were just as or more harmful than smoking. Conversely, US adult current smokers may be encouraged to use e-cigarettes after exposure to tweets that e-cigarettes are completely harmless. These findings suggest that misinformation about e-cigarette harms may influence some adult smokers’ decisions to consider using e-cigarettes.Trial registration numberISRCTN16082420.